OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Enviromic prediction enables the characterization and mapping of Eucalyptus globulus Labill breeding zones
Andrew Callister, Germano Costa‐Neto, Ben P. Bradshaw, et al.
Tree Genetics & Genomes (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 10

Showing 10 citing articles:

Satellite-enabled enviromics to enhance crop improvement
Rafael T Resende, Lee T. Hickey, Cibele Hummel do Amaral, et al.
Molecular Plant (2024) Vol. 17, Iss. 6, pp. 848-866
Open Access | Times Cited: 8

Harnessing crop models and machine learning for a spatial-temporal characterization of irrigated rice breeding environments in Brazil
Alexandre Bryan Heinemann, Germano Costa‐Neto, David Henriques da Matta, et al.
Field Crops Research (2024) Vol. 315, pp. 109452-109452
Closed Access | Times Cited: 4

Detecting environmental trends to rethink soybean variety testing programs
João Leonardo Corte Baptistella, Carl Knuckles, Mark Wieberg, et al.
Crop Science (2025) Vol. 65, Iss. 1
Closed Access

GIS‐based G × E modeling of maize hybrids through enviromic markers engineering
Rafael Tassinari Resende, Alencar Xavier, Pedro Italo T. Silva, et al.
New Phytologist (2024)
Open Access | Times Cited: 2

Well-connected trials show low genotype-by-environment interaction in Pinus radiata
Duncan McLean, Luis A. Apiolaza, Mark Paget, et al.
Forest Ecology and Management (2024) Vol. 561, pp. 121887-121887
Open Access | Times Cited: 1

Factor analytic selection tools and environmental feature-integration enable holistic decision-making in Eucalyptus breeding
Saulo Fabrício da Silva Chaves, Michelle B. Damacena, Kaio Olimpio G. Dias, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Optimizing multi-environment trials in the US Rice belt via smart-climate-soil prediction based-models and economic importance
Melina Prado, Adam N. Famoso, Kurt M. Guidry, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access

Prediction and mapping the productivity of eucalyptus clones with environmental covariates
Leonardo Oliveira Silva da Costa, Izabel Christina Gava de Souza, Aline Cristina Miranda Fernandes, et al.
Tree Genetics & Genomes (2024) Vol. 20, Iss. 4
Closed Access

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